The brewer scales provides sequential, diverging and qualitative colour schemes from ColorBrewer. These are particularly well suited to display discrete values on a map. See for more information.

scale_colour_brewer(..., type = "seq", palette = 1, direction = 1,
  aesthetics = "colour")

scale_fill_brewer(..., type = "seq", palette = 1, direction = 1,
  aesthetics = "fill")

scale_colour_distiller(..., type = "seq", palette = 1,
  direction = -1, values = NULL, space = "Lab",
  na.value = "grey50", guide = "colourbar", aesthetics = "colour")

scale_fill_distiller(..., type = "seq", palette = 1, direction = -1,
  values = NULL, space = "Lab", na.value = "grey50",
  guide = "colourbar", aesthetics = "fill")



Other arguments passed on to discrete_scale() or, for distiller scales, continuous_scale() to control name, limits, breaks, labels and so forth.


One of seq (sequential), div (diverging) or qual (qualitative)


If a string, will use that named palette. If a number, will index into the list of palettes of appropriate type


Sets the order of colours in the scale. If 1, the default, colours are as output by RColorBrewer::brewer.pal(). If -1, the order of colours is reversed.


Character string or vector of character strings listing the name(s) of the aesthetic(s) that this scale works with. This can be useful, for example, to apply colour settings to the colour and fill aesthetics at the same time, via aesthetics = c("colour", "fill").


if colours should not be evenly positioned along the gradient this vector gives the position (between 0 and 1) for each colour in the colours vector. See rescale() for a convenience function to map an arbitrary range to between 0 and 1.


colour space in which to calculate gradient. Must be "Lab" - other values are deprecated.


Colour to use for missing values


Type of legend. Use "colourbar" for continuous colour bar, or "legend" for discrete colour legend.


The brewer scales were carefully designed and tested on discrete data. They were not designed to be extended to continuous data, but results often look good. Your mileage may vary.


The distiller scales extend brewer to continuous scales by smoothly interpolating 7 colours from any palette to a continuous scale.


The following palettes are available for use with these scales:


BrBG, PiYG, PRGn, PuOr, RdBu, RdGy, RdYlBu, RdYlGn, Spectral


Accent, Dark2, Paired, Pastel1, Pastel2, Set1, Set2, Set3


Blues, BuGn, BuPu, GnBu, Greens, Greys, Oranges, OrRd, PuBu, PuBuGn, PuRd, Purples, RdPu, Reds, YlGn, YlGnBu, YlOrBr, YlOrRd

See also


dsamp <- diamonds[sample(nrow(diamonds), 1000), ] (d <- ggplot(dsamp, aes(carat, price)) + geom_point(aes(colour = clarity)))
d + scale_colour_brewer()
# Change scale label d + scale_colour_brewer("Diamond\nclarity")
# Select brewer palette to use, see ?scales::brewer_pal for more details d + scale_colour_brewer(palette = "Greens")
d + scale_colour_brewer(palette = "Set1")
# scale_fill_brewer works just the same as # scale_colour_brewer but for fill colours p <- ggplot(diamonds, aes(x = price, fill = cut)) + geom_histogram(position = "dodge", binwidth = 1000) p + scale_fill_brewer()
# the order of colour can be reversed p + scale_fill_brewer(direction = -1)
# the brewer scales look better on a darker background p + scale_fill_brewer(direction = -1) + theme_dark()
# Use distiller variant with continous data v <- ggplot(faithfuld) + geom_tile(aes(waiting, eruptions, fill = density)) v
v + scale_fill_distiller()
v + scale_fill_distiller(palette = "Spectral")